Connecting Voices: LoReSpeech as a Low-Resource Speech Parallel Corpus

• URL: http://arxiv.org/abs/2502.18215v1
• Date: Tue, 25 Feb 2025 14:00:15 GMT
• Title: Connecting Voices: LoReSpeech as a Low-Resource Speech Parallel Corpus
• Authors: Samy Ouzerrout,
• Abstract summary: This paper introduces a methodology for constructing LoReSpeech, a low-resource speech-to-speech translation corpus.<n>LoReSpeech delivers both intra- and inter-language alignments, enabling advancements in multilingual ASR systems.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Aligned audio corpora are fundamental to NLP technologies such as ASR and speech translation, yet they remain scarce for underrepresented languages, hindering their technological integration. This paper introduces a methodology for constructing LoReSpeech, a low-resource speech-to-speech translation corpus. Our approach begins with LoReASR, a sub-corpus of short audios aligned with their transcriptions, created through a collaborative platform. Building on LoReASR, long-form audio recordings, such as biblical texts, are aligned using tools like the MFA. LoReSpeech delivers both intra- and inter-language alignments, enabling advancements in multilingual ASR systems, direct speech-to-speech translation models, and linguistic preservation efforts, while fostering digital inclusivity. This work is conducted within Tutlayt AI project (https://tutlayt.fr).

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